The objective of this paper is to exploit the potential application of an evidential belief function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding areas using geographic information system (GIS). At first, a landslide inventory map was prepared using aerial photographs, high resolution satellite images and field survey. A total 220 landslides were mapped and an ...

Most landslide hazard assessment algorithms in common use are applied to small regions, where highresolution, in situ, observables are available. A preliminary global landslide hazard algorithm has been developed to estimate areas of potential landslide occurrence in near real-time by combining a calculation of landslide susceptibility with satellite derived rainfall estimates to forecast areas...

Landslide-susceptibility mapping is one of the most critical issues in Malaysia. These landslides can be systematically assessed and mapped through a traditional mapping framework that uses geoinformation technologies (GIT). The main purpose of this paper is to investigate the possible application of an artificial neural network model and its cross-application of weights at three study areas in...

although typically small in terms of their spatial footprint, landslide hazards are relativelyfrequent in northern iran. we assess landslide susceptibility for the nearly 20.000 km2 large study area of the urmia lake basin which is dominated by agricultural land use but includes the major settlements areas of the east azerbaijan province, iran. landslide factors are established in form of gis d...

Landslides, as geological hazards, cause significant casualties and economic losses. Therefore, it is necessary to identify areas prone to landslides for prevention work. This paper proposes an improved information value model based on gray clustering (IVM-GC) for landslide susceptibility mapping. This method uses the information value derived from an information value model to achieve suscepti...

Landslides are significant natural hazards in many areas of the world. Mapping the areas that are susceptible to landslides is essential for a wise territorial approach and should become a standard tool to support land-use management. A landslide susceptibility map indicates landslide-prone areas by considering the predisposing factors of slope failures in the past. In the presented work, we ev...

The objective of this study is to investigate a potential application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) and the Geographic Information System (GIS) as a relatively new approach for landslide susceptibility mapping in the Hoa Binh province of Vietnam. Firstly, a landslide inventory map with a total of 118 landslide locations was constructed from various sources. Then the lands...

Slope instability research and susceptibility mapping is a fundamental component of hazard management in decreasing the risk of living with landslides. Landslide susceptibility is defined as the proneness of the terrain to produce slope failures and susceptibility is usually expressed in a cartographic way. The Dena city in Iran is a landslide prone zone because of its own characteristics inclu...

This paper presents an integrated approach to landslide research based on remote sensing and sensor networks. This approach is composed of three important parts: (i) landslide susceptibility mapping using remote-sensing techniques for susceptible determination of landslide spots; (ii) scaled-down landslide simulation experiments for validation of sensor network for landslide monitoring, and (ii...

Landslide susceptibility mapping is one of the required activities in landslide prone area. This is intended to recognize the spatial probability of landslide as an action to minimize the upcoming impact. Landslide susceptibility map can be used as supporting information in spatial planning process as well, particularly in restricting landslide prone area as free of development zone . Currently...